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Bayesian Belief Networks Experimental protocol

In: The Manual of Strategic Economic Decision Making

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  • Jeff Grover

    (Grover Group, Inc.)

Abstract

Abstract This chapter introduces the Bayesian Belief Network (BBN) experimental protocol. It provides an introduction and a discussion on Bayes’ Research Methodology and the Joint Space and Disjoint Bayesian Belief Network Structure to include a description of the 9-steps to use, in conducting a Bayesian experiment, which include: Step 1: Identify a population of interest, Step 2: Specify a BBN with joint and/or disjoint Nodes, Step 3: Slice through each node, and identify at a minimum, two mutually exclusive or disjoint (unconditional) events, which are the subsets of our population, Step 4: Conduct the random experiment, Step 5: Determine frequency counts, Step 6: Determine prior5 or unconditional probabilities, Step 7: Determine likelihood probabilities, Step 8: Determine joint and marginal probabilities, and Step 9: Determine posterior probabilities.

Suggested Citation

  • Jeff Grover, 2016. "Bayesian Belief Networks Experimental protocol," Springer Books, in: The Manual of Strategic Economic Decision Making, chapter 0, pages 59-63, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-48414-3_4
    DOI: 10.1007/978-3-319-48414-3_4
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